llama.cpp/examples/run
Eric Curtin dab76c92cc
llama-run : include temperature option (#10899)
This commit updates the `examples/run/README.md` file to include a new
option for setting the temperature and updates the `run.cpp` file to
parse this option.

Signed-off-by: Eric Curtin <ecurtin@redhat.com>
2024-12-23 01:21:40 +01:00
..
CMakeLists.txt Opt class for positional argument handling (#10508) 2024-12-13 19:34:25 +01:00
README.md llama-run : include temperature option (#10899) 2024-12-23 01:21:40 +01:00
run.cpp llama-run : include temperature option (#10899) 2024-12-23 01:21:40 +01:00

llama.cpp/example/run

The purpose of this example is to demonstrate a minimal usage of llama.cpp for running models.

llama-run granite-code
llama-run -h
Description:
  Runs a llm

Usage:
  llama-run [options] model [prompt]

Options:
  -c, --context-size <value>
      Context size (default: 2048)
  -n, --ngl <value>
      Number of GPU layers (default: 0)
  --temp <value>
      Temperature (default: 0.8)
  -v, --verbose, --log-verbose
      Set verbosity level to infinity (i.e. log all messages, useful for debugging)
  -h, --help
      Show help message

Commands:
  model
      Model is a string with an optional prefix of
      huggingface:// (hf://), ollama://, https:// or file://.
      If no protocol is specified and a file exists in the specified
      path, file:// is assumed, otherwise if a file does not exist in
      the specified path, ollama:// is assumed. Models that are being
      pulled are downloaded with .partial extension while being
      downloaded and then renamed as the file without the .partial
      extension when complete.

Examples:
  llama-run llama3
  llama-run ollama://granite-code
  llama-run ollama://smollm:135m
  llama-run hf://QuantFactory/SmolLM-135M-GGUF/SmolLM-135M.Q2_K.gguf
  llama-run huggingface://bartowski/SmolLM-1.7B-Instruct-v0.2-GGUF/SmolLM-1.7B-Instruct-v0.2-IQ3_M.gguf
  llama-run https://example.com/some-file1.gguf
  llama-run some-file2.gguf
  llama-run file://some-file3.gguf
  llama-run --ngl 999 some-file4.gguf
  llama-run --ngl 999 some-file5.gguf Hello World